Technologies / Data & Analytics

Data analytics using R

The training provides a comprehensive introduction to data analysis using the R language. The program covers the full cycle of working with data, from data acquisition and cleaning, through exploration and analysis, to advanced visualization and reporting. Participants learn to apply modern data analysis tools and methodologies through hands-on workshops. The classes are based on real business cases and datasets.

Issues

RStudio development environment
Tidyverse packages for data analysis
Descriptive statistics and statistical inference
Data visualization techniques in R
Statistical modeling
Functional programming in R
ETL (Extract, Transform, Load) in the context of R
Code version control with Git
Time series analysis
Reproducible research
Reporting with R Markdown
Implementation of analytical solutions

Benefits

Gain practical skills in analyzing and interpreting complex data sets.
Acquire the ability to transform raw data into useful business information.
Master techniques for effective visualization of analysis results for various audiences.
Learn methods for automating repetitive analytical tasks.
Develop competence in identifying trends and patterns in data.
Assimilate best practices in documentation and reproducibility of analyses.
Acquire the ability to communicate analysis results in a way that is accessible to stakeholders.

Who is this training for?

Data analysts in commercial companies

Business intelligence specialists

Market researchers and marketing analysts

Financial analysts

Process optimization specialists

Employees of reporting departments

Managers working with data

Prerequisites

Basic knowledge of data analysis concepts
General knowledge of descriptive statistics
Experience in working with tabular data
Logical analytical thinking skills
Basic knowledge of programming welcome

Training program

Data structures and their processing
Importing data from various sources
Management of analytical projects

Identification and handling of missing values
Data transformation and normalization
Filtering and aggregation of data
Combining datasets from different sources

Descriptive statistics and their interpretation
Correlation and dependency analysis
Segmentation and clustering of data
Detection of anomalies and outliers
Data visualization and reporting
Create static charts using ggplot2

Generating reports in R Markdown
Automation of cyclical analysis and reports

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Data analytics using R we recommend: Basic knowledge of data analysis concepts; General knowledge of descriptive statistics; Experience in working with tabular data.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Data analysts in commercial companies; Business intelligence specialists; Market researchers and marketing analysts.